Design and validation of a trust-based opportunity-enabled risk management system
Purpose The Bring-Your-Own-Device (BYOD) paradigm favors the use of personal and public devices and communication means in corporate environments, thus representing a challenge for the traditional security and risk management systems. In this dynamic and heterogeneous setting, the purpose of this pa...
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Veröffentlicht in: | Information and computer security 2017-01, Vol.25 (1), p.2-25 |
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Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | Purpose
The Bring-Your-Own-Device (BYOD) paradigm favors the use of personal and public devices and communication means in corporate environments, thus representing a challenge for the traditional security and risk management systems. In this dynamic and heterogeneous setting, the purpose of this paper is to present a methodology called opportunity-enabled risk management (OPPRIM), which supports the decision-making process in access control to remote corporate assets.
Design/methodology/approach
OPPRIM relies on a logic-based risk policy model combining estimations of trust, threats and opportunities. Moreover, it is based on a mobile client – server architecture, where the OPPRIM application running on the user device interacts with the company IT security server to manage every access request to corporate assets.
Findings
As a mandatory requirement in the highly flexible BYOD setting, in the OPPRIM approach, mobile device security risks are identified automatically and dynamically depending on the specific environment in which the access request is issued and on the previous history of events.
Originality/value
The main novelty of the OPPRIM approach is the combined treatment of threats (resp., opportunities) and costs (resp., benefits) in a trust-based setting. The OPPRIM system is validated with respect to an economic perspective: cost-benefit sensitivity analysis is conducted through formal methods using the PRISM model checker and through agent-based simulations using the Anylogic framework. |
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ISSN: | 2056-4961 0968-5227 2056-497X |
DOI: | 10.1108/ICS-05-2016-0037 |